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4,578 results for “Assistance”
Climate-assisted persistence of tropical fish vagrants in temperate marine ecosystems
<p>Rising temperatures and extreme climatic events are propelling tropical species into temperate marine ecosystems, but not all species can persist. Here, we used the heatwave-driven expatriation of tropical black rabbitfish (<i>Siganus fuscescens</i>) to the temperate environments of Western Australia to assess the ecological and evolutionary mechanisms that may entail their persistence. Population genomic assays for this rabbitfish indicated little genetic differentiation between tropical residents and vagrants to temperate environments due to high migration rates, which were likely enhanced by the marine heatwave. DNA metabarcoding revealed a diverse diet for this species based on phytoplankton and algae, as well as an ability to feed on regional resources, including kelps. Irrespective of future climate scenarios, these macroalgae-consuming vagrants may self-recruit in temperate environments and further expand their geographic range by 2100. This expansion may compromise the health of the kelp forests that form Australia's Great Southern Reef. Overall, our study demonstrates that projected favourable climatic conditions, continued large-scale genetic connectivity between populations, and diet versatility are key for tropical range-shifting fish to establish in temperate ecosystems.</p>
A Case-Controlled Pilot Study on Rhythmic Auditory Stimulation-Assisted Gait Training and Conventional Physiotherapy in Patients With Parkinson's Disease Submitted to Deep Brain Stimulation
<p>Deep brain stimulation (DBS) is indicated when motor disturbances in patients with idiopathic Parkinson's disease (PD) are refractory to current treatment options and significantly impair quality of life. However, post-DBS rehabilitation is essential, with particular regard to gait. Rhythmic auditory stimulation (RAS)-assisted treadmill gait rehabilitation within conventional physiotherapy program plays a major role in gait recovery. We explored the effects of a monthly RAS-assisted treadmill training within a conventional physiotherapy program on gait performance and gait-related EEG dynamics (while walking on the RAS-aided treadmill) in PD patients with (<em>n</em> = 10) and without DBS (<em>n</em> = 10). Patients with DBS achieved superior results than those without DBS concerning gait velocity, overall motor performance, and the timed velocity and self-confidence in balance, sit-to-stand (and vice versa) and walking, whereas both groups improved in dynamic and static balance, overall cognitive performance, and the fear of falling. The difference in motor outcomes between the two groups was paralleled by a stronger remodulation of gait cycle-related beta oscillations in patients with DBS as compared to those without DBS. Our work suggests that RAS-assisted gait training plus conventional physiotherapy is a useful strategy to improve gait performance in PD patients with and without DBS. Interestingly, patients with DBS may benefit more from this approach owing to a more focused and dynamic re-configuration of sensorimotor network beta oscillations related to gait secondary to the association between RAS-treadmill, conventional physiotherapy, and DBS. Actually, the coupling of these approaches may help restoring a residually altered beta-band response profile despite DBS intervention, thus better tailoring the gait rehabilitation of these PD patients.</p>
Evaluating the educational effectiveness of a structured, simulator-assisted, peer-led training on cardiovascular physical examination in third-year medical students: A randomized, controlled trial
<p class="AbstractCxSpFirst"><span><span><span><span><span><span><span><span><span><span><span><b>Background:</b> Previous research suggests that cardiac examination skills in undergraduate medical students frequently need improvement. There are different ways to enhance physical examination (PE) skills such as simulator-based training or peer-assisted learning (PAL). </span></span></span></span></span></span></span></span></span></span></span></p> <p class="AbstractCxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><b>Aim:</b> The aim of this study was to evaluate the effectiveness of a structured, simulator-assisted, peer-led training on cardiovascular PE.</span></span></span></span></span></span></span></span></span></span></span></p> <p class="AbstractCxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><b>Methods:</b> Participants were third-year medical students at Leipzig University Faculty of Medicine. Students were randomly assigned to an intervention group (IG) and a control group (CG). In addition to standard curricular training, IG received a peer-led, simulator-based training in cardiac PE. Participant performance in cardiac PE was assessed using a standardized checklist with a maximum of 25 points. Primary outcome was assessed via checklist point distribution.</span></span></span></span></span></span></span></span></span></span></span></p> <p class="AbstractCxSpMiddle"><span><span><span><span><span><span><span><span><span><span><span><b>Results:</b> 89 students were randomised to either CG (<i>n</i> = 43) or IG (<i>n</i> = 46) with 70 completing the study. Overall, IG students performed significantly better than CG students did (max. points: 25, IG M ± SD in IG was 17 ± 3, in CG 12 ± 4, p < .0001). Simple mistakes such as not using the stethoscope correctly were more frequent in CG students. Prior experience did not lead to a significant difference in performance. </span></span></span></span></span></span></span></span></span></span></span></p> <p class="Abstract"><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions:</b> Structured, peer-led and simulator-assisted teaching sessions improve cardiac PE skills in this setting compared to control students that did not receive this training.</span></span></span></span></span></span></span></span></span></span></span></p>
Automated application to assist in detecting novel gene-disease associations following whole genome sequencing
<p>Results files, analysis scripts and original software from TierUp reanalysis performed on June 2020. These data contribute to the publication titled "Automated reanalysis application to assist in detecting novel gene-disease associations following whole genome sequencing". </p> <ul> <li> <p>tierup_v0-3-0.tar.gz - source code used in the reanalysis</p> </li> <li> <p>tierup_results_summary.tar.gz - raw data and python code for publication figures</p> </li> </ul> <p> </p>
Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions_experimental dataset
<p>This dataset contains the raw unprocessed experimental data for Maniš et al., Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions, https://pubs.rsc.org/en/content/articlelanding/2022/NA/D2NA00175F </p>
UTS Digital Forensic.computer-assisted
<p>gambar data lens.org</p>
UTS Digital Forensic, Computer-Assisted
<p>data uts digital forensic computer-assisted</p>
Data from: Tracing the origin of Oriental beech stands across Western Europe and reporting hybridization with European beech – implications for assisted gene flow
<p>The benefits and risks of human-aided translocation of individuals within the species range, assisted gene flow (AGF), depend on the genetic divergence, on the rate and direction of hybridization, and on the climate transfer distance between the host and donor populations. In this study, we explored the use of Oriental beech (<em>Fagus</em> <em>sylvatica</em> subsp. <em>orientalis</em>), growing from Iran to the Balkans, for AGF into European beech populations (<em>F</em>. <em>sylvatica</em> subsp. <em>Sylvatica</em>) that increasingly suffer from climate warming. Using samples from natural populations of Oriental and European beech and microsatellite loci, we identified 5 distinct genetic clusters in Oriental beech with a divergence (FST) of 0.15 to 0.25 from European beech. Using this knowledge, we traced the origin of 11 Oriental beech stands in Western Europe established during the 20<sup>th</sup> century. In two stands of Greater Caucasus origin, we found evidence for extensive hybridization, with 18% and 41% of the seedlings having hybrid status. Climate data revealed higher seasonality with warmer and drier summers across the native Oriental beech sites in comparison to the planting sites in Western Europe. Accordingly, we found that bud burst of Oriental beech occurred four days earlier than in European beech. Overall, our results suggest that AGF of Oriental beech could increase the genetic diversity of European beech stands and may foster introgression of variants adapted to expected future climatic conditions. Our study showcases the evaluation of the benefits and risks of AGF and call for similar studies on other native tree species.</p>
Directing Group-Assisted para-Selective C–H Alkynylation of Unbiased Arenes Enabled by Rhodium Catalysis
<p>This folder /DFT_structures/ contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper</p> <p>"Directing Group-Assisted para-Selective CH Alkynylation of Unbiased Arenes Enabled by Rhodium Catalysis"</p> <p>Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...</p>
Selection of conditions for enzymatic hydrolysis of lignocellulosic biomass of various origins after microwave-assisted hydrotropic pretreatment.
<p>Results on the efficiency of enzymatic hydrolysis of cellulose. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.</p>
Assessment of the possibility of using various types of biomass after microwave-assisted hydrotropic pretreatment in bioconversion processes on the example of alcoholic fermentation.
<p>Results concerning the composition of fermentation substrates obtained from lignocellulosic biomass of various origins after microwave pre-treatment. HPLC analyzes of substrates before and during the alcoholic fermentation process. FTIR, XRD and NMR spectra and SEM images of biomass after pre-treatment under high pressure conditions. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.</p>
Deep Learning for Microfluidic Assisted Caenorhabditis elegans Multi-parameter Identification Using YOLOv7
<p>The effectiveness of deep learning model relies on a large number of labeled image datasets. We have collected a dataset of 3373 worm images from microfluidic devices in various studies as datasets. Then, the datasets were labeled for training methods. The acquired videos were continuously intercepted at 10-frame intervals to capture cropped worm images. Totally 3931 images were extract. Worms in each image were manually annotated using LabelImg. This VOC-format annotation tool generated Extensible Markup Language (XML) files for the model. There were 2426 labels for the WT category and 1505 for the GFP category.</p>
Supplementary material for: UAV-assisted counts of group size facilitate accurate population surveys of the Critically Endangered cao vit gibbon Nomascus nasutus
<p>Supplementary Material for the journal article "UAV-assisted counts of group size facilitate accurate population surveys of the Critically Endangered cao vit gibbon <em>Nomascus nasutus</em>", published in <em>Oryx</em>.</p> <p><strong>Caption: </strong>Video footage of cao vit gibbon <em>Nomascus nasutus</em> family groups taken with an unoccupied aerial vehicle (UAV). The footage from the thermal and RGB cameras on the UAV is shown side-by-side to facilitate comparison between the two sensor types. The video is also available at: www.youtube.com/watch?v=J7VpnvdUT4A.</p>
Optimization scripts used for "Bayesian optimization of laser-plasma accelerators assisted by reduced physical models"
<p>This dataset contains the optimization scripts needed to reproduce the results from the article "Bayesian optimization of laser-plasma accelerators assisted by reduced physical models" by A. Ferran Pousa, S. Jalas, M. Kirchen, A. Martinez de la Ossa, M. Thévenet, J. Larson, S. Hudson, A. Huebl, J.-L. Vay, and R. Lehe.</p>
Data for: Preceramic polymer assisted nucleation and growth of copper sulfide nanoplates
<p>In this work, a novel synthesis technique is presented in which a functionalized pre-ceramic polymer is used to stably assist the formation of a copper sulfide nanoplate and act as the end graft molecule in a one-pot approach. This is significant, as it offers a one-pot nanofiller precursor synthesis that should more easily disperse into similar preceramic polymer polysiloxane matrices than conventional nanoparticles for advanced polymer-derived ceramic nanocomposite formation. We have used a wide range of characterization techniques to probe the nanoparticle core formed in the synthesis, the final graft molecule, and the role of the pre-ceramic polymer during synthesis. This includes synchrotorn X-ray difffraction and pair distribution functions, transmission electron microscopy, Fourier transform infrared spectroscopy, in-situ small-angle X-ray scattering, and nuclear magnetic resonance spectroscopy. All of which are included in this data repository, labeled with the figure numbers from the corresponding article through Communications Materials.</p>
Datasets: Spying through your voice assistants: Realistic voice command fingerprinting
<p>These datasets are used in our work titled "Spying through your voice assistants: Realistic voice command fingerprinting" published in USENIX Security 2023</p>
MOON: Assisting Students in Completing Educational Notebook Scenarios (Artifacts)
<p>This repository contains the artifacts supporting the paper "<em>MOON: Assisting Students in Completing Educational Notebook Scenarios</em>" published in the <em>IEEE Symposium on Visual Languages and Human-Centric Computing</em> (VL/HCC) 2023.</p> <ul> <li><strong>moon.zip</strong> contains the source code of MOON at the time of publication</li> <li><strong>notebooks.zip</strong> contains the example Jupyter notebook used as illustration in the paper as well as the notebook manipulated by students in the evaluation</li> <li><strong>analysis.zip</strong> contains the Jupyter notebooks used to analyze the raw data extracted in the evaluation as well as the results of the user study conducted with students</li> </ul>
Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning
<p>static analysis alarm data</p>
Valar: Streamlining Alarm Ranking in Static Analysis with Value-Flow Assisted Active Learning
<p>static analysis alarm dataset</p>
Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses - Supporting Information - Trajectories
<p>We provide videos of trajectories for a test charge, bound by Lennard-Jones potential. First video, titled "Plane Wave Trajectory " refers to the particle under the effect of a plane wave pulse. The other video , titled "Emitter Trajectory" refers to the particle affected by an orbital angular momentum carrying pulse.</p> <p>These videos are supplementary materials for the article titled "Time-Resolved Plasmon-Assisted Generation of Arbitrary Optical-Vortex Pulses".</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.